Research on improving the accuracy of near infrared non-invasive hemoglobin detection
Research on improving the accuracy of near infrared non-invasive hemoglobin detection
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提高近红外无创血红蛋白检测精度的研究
DOI：
10.1016/j.infrared.2015.06.009
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发表时间：
2015-09-01
影响因子：
3.3
通讯作者：
Lu, Qipeng
中科院分区：
文献类型：
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作者：
Yuan, Jingze;Ding, Haiquan;Lu, Qipeng
为了提高近红外无创血红蛋白（Hb）临床检测的准确性，研究了高性能仪器和预处理算法。采用16像素InGaAs探测器阵列和平面光栅光谱仪构建近红外分光光度系统，获得高信噪比的光谱数据。在我们的实验中，我们独立应用该设备对91名志愿者的指尖进行了无创光谱数据采集。进行了两次预测试验，以验证预处理算法提高近红外Mb探测精度的效果，并排除了单次试验中令人满意结果的偶然性。我们的无创Hb检测方法基于偏最小二乘（PLS）。在每个试验中，分别分析了PLS、MSC联合PLS、DOSC联合PLS这三种无创Hb检测方法。两项试验结果表明，只有DOSC和PLS在预测能力和稳定性方面都表现出色，明显优于其他两种方法。预测试验1的相对RMSEP为6.16%，预测试验2的相对RMSEP为6.08%，基本达到临床应用的要求。这表明我们自主研制的高性能仪器和DOSC联合PLS的方法在无创Mb检测的临床应用中具有广阔的前景。(c) 2015年Elsevier B.V.出版
To optimize the accuracy of near-infrared non-invasive hemoglobin (Hb) clinical detection, high-performance instrument and prepossessing algorithm have been investigated. A near-infrared spectrophotometric system was constructed adopting InGaAs detector array with 16 pixels and plane grating spectrometer to obtain high signal noise ratio (SNR) spectral data. In our experiment, we applied the device independently to collect spectra data from 91 volunteers' fingertips non-invasively. Two prediction tests were conducted to verify the effects of preprocessing algorithms improving the accuracy of near-infrared Mb detection and exclude the occasionality of satisfactory results in a single trial. Our non-invasive Hb detection methods were based on partial least squares (PLS). In each test, PLS, MSC coupled with PLS, DOSC coupled with PLS, three methods for non-invasive Hb detection, were analyzed respectively. The results of two trials showed that only DOSC & PLS performed excellently in both predictive ability and stability, obviously better than other two methods. Relative RMSEP was 6.16% in predicting test 1, 6.08% in predicting test 2, almost reaching the requirements of clinical application. It indicates that our independent-developed high-performance instrument and the method DOSC coupled with PLS are promising in non-invasive Mb detection clinical application. (c) 2015 Published by Elsevier B.V.